Megatrend · Semiconductors

From a boring commodity chip to a battlefield AI can't do without

Memory used to be the most 'boring and brutal' business in chips — sold as a commodity, with prices swinging so hard the industry lost money in cycles. Then AI changed everything, especially a special kind of memory called HBM that let a smaller company, SK Hynix, topple the old champion and pushed the whole industry into a 'supercycle' that could run through 2028.

Category Semiconductors Level Sub-theme Maturity Scaling Read time ~16 min
A tower of memory stacked vertically in many layers, with connection holes through every layer, feeding a huge stream of data to the AI chip beside it
ภาพประกอบ (hero.png)
A vertical revolution. 'Stacking' memory upward and placing it next to the chip is what unlocked the AI era.

01What it is (3 types of memory)

Every computer — from a phone to an AI server — needs two different kinds of 'place to keep data.' Picture working at a desk: you need a 'work desk' to grab things and work fast, and a 'filing cabinet' that holds a lot but is slower to reach. This node is about both — plus a 'special desk' for AI.

  • DRAM (the work desk): very fast, used as the chip's temporary workspace, but the data vanishes when you power off — every time you open an app it loads onto DRAM
  • NAND (the filing cabinet): permanent storage (SSDs, your phone's storage), high capacity and cheaper per unit, but slower than DRAM and it keeps data when powered off
  • HBM (the special desk for AI): really just DRAM 'stacked' vertically and placed right beside the AI chip to feed it data at extreme speed — the star of this lesson
Key terms
Volatile vs Non-volatile

DRAM (including HBM) is 'volatile' — fast, but the data is lost without power · NAND is 'non-volatile' — slower, but it keeps data even when powered off. That's why every device needs both: DRAM to work fast, NAND to store the real thing.

On the megatrend map, this node sits under Semiconductors. Its definition is clear — 'commodity-plus memory, with HBM as the premium layer that's in shortage because of AI' — and that's the heart of the whole story.

02Why the boring stuff turned to gold

For decades memory was seen as the 'rice' of the chip world — same standard, anyone can make it, so they competed purely on price. The result was a brutal boom-bust cycle: floods of profit in good times, selling below cost and billions in losses in bad ones (as happened in 2022–2023).

But AI changed the equation, because large AI models are 'hungry for memory' like never before — in both volume and speed. HBM demand grew wildly: +150% in 2023, over +200% in 2024, and another ~70% in 2025. The HBM market is growing from $38 billion in 2025 to $58 billion in 2026.

The HBM market (premium memory for AI)
Market size (US$ billions) — 2028 is an estimate (CAGR ~40%)
Source: TrendForce, Micron (HBM TAM CAGR ~40% through 2028)

The result shocked the industry: in Q4 2025 the leading memory makers' gross margins were higher than TSMC's — something that almost never happens. The 'boring stuff' became the most profitable business in chips overnight.

Gross margin > TSMC In Q4 2025 leading memory makers out-margined the world's #1 foundry — a sign memory had become a scarce good with pricing power.

03What is HBM — a deep dive

To understand why HBM matters so much, you first have to understand the problem it solves: the 'memory wall'.

A modern AI chip can compute on the order of a trillion times a second. But the problem is — it spends more time 'waiting for data' than waiting to compute, because conventional memory (DDR) can't feed it fast enough. It's like having an F1 engine but feeding the fuel through a coffee straw. The real power is bottlenecked at 'how fast you can feed the data.'

A powerful processor walled off by a brick wall, but a wide-open door lets data pour through to feed it
ภาพประกอบ (wall.png)
Breaking the memory wall. HBM opens a 'wide door' so data reaches the chip instantly.

HBM solves this with an idea that's simple but very hard to build: instead of laying memory chips out on a board and running long wires, you 'stack' DRAM vertically (8–12 layers, or more), drill connections through every layer with a technique called TSV, then place that stack right beside the AI chip on a connecting sheet (interposer) — making the data path short and enormously wide.

The structure of HBM A GPU chip with DRAM (HBM) stacked many layers high via TSV placed beside it on an interposer, connected by a wide bus interposer — the connecting sheet that places the GPU and HBM side by side GPU / AI chip HBM — DRAM stacked 8–12 layers TSV connects through every layer base logic die 1,024-bit wide bus (ordinary DDR is only 64 bits wide)
The anatomy of HBM. Many layers of DRAM, drilled through with TSV, placed beside the GPU on an interposer and wired with a bus 16× wider than usual.

The result is a leap in speed. Ordinary DDR5 memory moves about 50 GB/s per channel, but HBM3E does over 1,000 GB/s (1 TB/s) — roughly 20× faster, while using less power per bit.

Data transfer speed (bandwidth)
Gigabytes per second — HBM is about 20× faster than DDR5
Source: JEDEC, Rambus, manufacturers (estimates) — HBM4 (2025 spec) widens the bus to 2,048 bits, reaching ~2 TB/s per stack
Key terms
TSV & Interposer

TSV (Through-Silicon Via) = drilling tiny holes through silicon and filling them with conductive metal to connect stacked DRAM layers vertically · Interposer = a silicon sheet that acts as a 'bridge,' placing the GPU and HBM side by side — this is where the world of memory meets chip packaging (the CoWoS of a Foundry).

04The most brutal cycle in the industry

Before getting excited about HBM, you have to understand this business's 'raw nature.' Memory is an oligopoly (a market with few players) — global DRAM is held by just 3 companies (Samsung, SK Hynix, Micron), together over 95%. But even with few players, prices swing violently, because the product is a single standard and everyone tends to expand capacity together in the upturn, then face a glut together in the downturn.

This cycle is so brutal that in the latest round (2022–2023) makers had to sell chips below cost, taking huge losses, before recovering in 2024–2025. The biggest question for investors now is: 'Is this time really different?'

The reason many believe 'this time is different' is that AI is creating structural demand like never before — not just a normal cycle. Add that makers, burned by the last round, are cautious about expanding capacity, so the tightness lasts longer. Some even see this supercycle running through 2028 — but the cautious warn that 'every time in history someone said this time is different, the cycle always came back.'

05What it connects to, and why things get pricier

This node connects deeply to other trends:

  • Powers the heart of AI: no HBM, no modern AI chip — HBM is the indispensable partner of every GPU
  • Meets Foundry at packaging: HBM has to be assembled with the GPU using CoWoS, so the HBM bottleneck and the chip-packaging bottleneck are intertwined
  • Sits on Interconnect & substrate: it all rests on an interposer and an advanced substrate
  • Depends on key raw materials: high-quality silicon wafers and specialty chemicals

But the impact ordinary consumers actually feel comes from a phenomenon called the 'DDR5 squeeze'. Making HBM eats about 4× the capacity (wafers) of ordinary DRAM per unit of capacity. So when makers pour into the higher-margin HBM, the DRAM capacity for phones and PCs shrinks.

How much 'DRAM wafer' HBM eats
Share of all DRAM wafers used for HBM (2026 estimate)
Source: TrendForce (2026 estimate) — HBM eats ever more wafers, tightening ordinary DRAM
A giant hand on the AI side sweeps up almost the entire pile of memory chips, while small PC and phone users are left with only a few
ภาพประกอบ (squeeze.png)
AI sweeps it up, everyone else gets scraps. AI data centers absorb nearly all the memory, pushing phone/PC prices up.

As a result, ordinary DRAM prices have surged and are expected to push up consumer-product prices — one estimate says 2026 phone prices could rise about 14%, partly because of memory costs. This is a rare example of a deep B2B trend (AI buying HBM) reaching ordinary people's wallets directly.

06The battle for the throne (2025–2026)

This is the most dramatic part. For decades Samsung held the memory throne unchallenged. But HBM upended everything — Samsung's HBM failed NVIDIA's quality tests, while the smaller SK Hynix partnered with NVIDIA first and became the runaway HBM leader.

A three-tier podium. A small player steps onto the top with a crown, while the big former champion steps down, surprised.
ภาพประกอบ (throne.png)
The throne changes hands. A single new technology let a challenger topple a long-reigning champion.

The numbers tell the story — in Q2 2025 SK Hynix held 62% of the HBM market, while Samsung fell from 41% (mid-2024) to just 17%. And America's Micron, which had almost no HBM share a few years ago, surged to 21%, passing Samsung.

HBM market share (Q2 2025)
% of the HBM market — a small challenger becomes the leader
Source: TrendForce (Q2 2025) — Samsung was at 41% in mid-2024

The HBM win shook the whole board — SK Hynix rose to lead the overall DRAM market for the first time, and most importantly out-earned Samsung in annual profit for the first time in history in 2025.

Prices exploded at the same time. The standard DDR5 chip price jumped from $6.84 (Sep 2025) to $27.20 (Dec 2025) — nearly 4× in three months.

DDR5 chip prices explode
Price per chip (US$) — nearly 4× in three months
Source: Sourceability, TrendForce
Booked out through end-2026 SK Hynix has fully booked its memory capacity through the end of 2026, while Samsung can fill only ~70% of DRAM orders — a picture of a severely short market.

Another player to watch is China — CXMT (DRAM) and YMTC (NAND) are catching up hard, even under sanctions. YMTC pushed its NAND share to 13% and targets 15% by 2026. CXMT, though about 3 years behind on technology, is racing to make DDR5 and will drop the older DDR4 by mid-2026 on Beijing's orders — which will roil the low-end market further.

Key players in this field
Note
We rank players by competitive standing and market share rather than raw market cap — to reflect who really leads each segment.
SK Hynix000660 · KR
South Korea · the HBM winner
HBM market leader (~62%) and NVIDIA's main partner — in 2025 it passed Samsung to lead DRAM and out-earned Samsung in annual profit for the first time. Capacity booked out through end-2026.
core · HBM leader
South Korea · the stumbling giant
Still the largest in overall memory + NAND, but it slipped in HBM (fell 41%→17% after failing NVIDIA's tests). Now racing to reclaim ground with HBM4.
core · reclaiming
MicronMU · US
United States · the dark horse
America's only memory maker. From almost no HBM share, it surged past Samsung to 21%, shipping high-speed HBM4 samples from mid-2025.
core · rising in HBM
Kioxia/ Sandisk285A JP · SNDK US
Japan / US · NAND
The leaders on the NAND (storage) side — Kioxia is growing fast on AI-server SSD demand, while Sandisk spun off from Western Digital.
core · NAND/storage
CXMT/ YMTCPrivate · China
China · the challenger
China's hope for self-reliance — YMTC (NAND) reached 13% and targets 15% in 2026; CXMT (DRAM) is still ~3 years behind but pushing hard at the low end.
core · China's challenger

07The road ahead

The first direction is HBM4 and 'custom HBM'. The HBM4 standard (out in 2025) doubles the bus width (2,048 bits), and NVIDIA plans to use up to 8–16 HBM stacks per new chip. Beyond that, next-gen HBM will start being 'custom-designed' for each customer's chip — shifting from a standard product to one tied more to the customer, which may make it less of a commodity.

The second direction is the cycle question. If AI demand stays strong and makers keep capacity in check, the supercycle could run to 2028. But if everyone rushes to expand at once (as always in the past), supply could glut and prices fall fast — the variable that decides the whole group's profits.

The third direction is China's push into the low end. While the big 3 pour into high-end HBM, China (CXMT/YMTC) is taking the low end (DDR4, commodity-grade NAND), which could pressure commodity prices and profits long term — both an opportunity (pricier at the high end) and a risk (cheaper at the low end) at once.

08Challenges & risks

Memory's appeal comes with risks baked into its DNA.

The first and eternal risk is the 'cycle'. This is a business where profit can swing from hugely positive to hugely negative in a few quarters. Every time the market believes 'this time is different,' history warns the cycle never goes away — the question is just 'when,' not 'whether.' So investing here is about reading the cycle, not buying at peak good news.

The second risk is dependence on HBM and a few customers. The leaders' big profits today are tied to AI demand and a few main customers (especially NVIDIA). If AI investment slows, or chip architectures change how memory is used, this concentration risk grows clearer. And Samsung's lesson warns: 'today's leader can fall by missing a single technology generation.'

The third risk is China and the low end. As CXMT/YMTC catch up on commodity grades, the low-end price war will intensify, pressuring commodity profits and possibly creating a glut in some segments even while the high end stays tight.

The bottom line for investors Memory is a trend that 'fully rides AI but is cyclical to the bone' — three keys: (1) who wins in HBM/the high end (that's where pricing power and margins are) · (2) where you are in the cycle (today's shortage could be a glut in 2–3 years) · (3) how strong China's pressure is at the low end — the real value is in 'who controls the hardest technology' and 'who has capacity discipline,' not just who's growing fastest today.

In short: Memory is the story of the component once seen as the most boring, that suddenly became one of the most important battlefields of the AI era. That a smaller company toppled the old champion with a single technology (HBM) is a lesson that in tech, size doesn't guarantee victory — and understanding how 'memory' became a scarce good that sets the price of the phone in your pocket is understanding why this once-boring node became one of the most closely watched of the era.

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